Automation QA, Global Financial Markets

Job description

Role Overview

We are seeking a high-killed Senior Test Engineer to join our global financial markets technology team. As part of a leading bank, you will ensure the integrity of our mission-critical, high-frequency, low-latency trading platforms. You will go beyond traditional testing by integrating AI-driven methodologies, Product Security, and rigorous Regulatory Compliance into the automation lifecycle to maintain our competitive edge in the global markets.

Key Responsibilities

Test Engineering: Design and scale sophisticated test suites and use Serenity BDD to automatically validate complex FX workflows (Spot, Forwards, Swaps).

Low-Latency Performance Validation

Execute rigorous testing for High-Frequency Trading (HFT) components, focusing on microsecond-level latency, jitter analysis, and system throughput.

AI-Enhanced Quality Engineering

Proactively leverage Generative AI tools (e.g., GitHub Copilot, LLM-based agents) to optimize test case generation, automate synthetic market data creation, and perform predictive defect analysis.

Product Security Integration

Conduct API vulnerability assessments and chaos testing to ensure trading infrastructure resilience.

Compliance & Data Governance

Ensure all testing activities—especially those involving AI tools—strictly adhere to banking regulations.

CI/CD & DevOps

Own the integration of automated suites into CI/CD pipelines, ensuring rapid, secure, and compliant feedback loops for development teams.

Global Stakeholder Management

Partner with Traders, Quants, and Risk Managers across global offices to resolve complex production issues.

Required Qualifications & Skills

Professional Experience: Minimum 3+ years of hands-on experience in QA automation.

Technical Expertise

Expert-level proficiency in Java and the Serenity BDD framework. Strong experience with Selenium, Cucumber, and REST-assured.

Domain Knowledge

Deep understanding of FX products and market microstructure. Proven experience testing High-Frequency / Low-Latency trading systems and the FIX Protocol.

Security & AI Competency

Experience in Product Security Testing and vulnerability identification. Demonstrated ability to use AI tools to enhance the SDLC while maintaining data privacy standards.

Regulatory Awareness

Familiarity with data privacy laws and financial compliance requirements related to cross-border data transfer and automated decision-making.

Education

Bachelor’s degree or higher in Computer Science, Financial Engineering, or a related field. Preferred Attributes "Security-First" and "AI-First" mindset in software quality assurance. Experience with high-volume time-series data analysis. Excellent communication skills for a multicultural, global banking environment.

Location

Guangzhou (DTC)

Job

Technology Schedule: Regular Employee Status: Full time